Abstract
This paper investigates a new approach to the adaptation of the WiMAX IEEE802.16d baseband, the physical layer performance of wireless communications systems based on OFDM multiwavelet transform, using half values of coding rates, 16-QAM, and DMWT-OFDM by being applied to the SFF SDR development platform. In the new structure of WiMAX IEEE802.16d baseband, is reduce further the level of interference, and spectral efficiency is increased. The proposed design was model tested, and its performance was found to comply with International Telecommunications Union channel (ITU) models that have been elected for the wireless channel in the simulation process. The simulation approved the proposed design which achieved much lower bit error rates, increased signal-to-noise power ratio (SNR), robustness for multipath channels and does not require cyclically prefixed guard interval and have higher spectral efficiency than OFDM based on DWT and FFT also can be used as an alternative conventional OFDM in WiMAX IEEE802.16d baseband.
Highlights
Over the recent years, there has been important and growing demand for greater bandwidth
IEEE 802.16d was developed for WiMAX wireless communication, which is based on orthogonal frequency-division multiplexing (OFDM) technology, to enable advancement towards 4 G
The DSP of the SFF SDR development platform are completely integrated into the model-based design flow, which integrates Matlab, Simulink, and the Real-Time Workshop from MathWorks
Summary
There has been important and growing demand for greater bandwidth. In proposed OFDM system was introduced based on multifilters, called Multiwavelets, and has two or more low-pass and high-pass filters The purpose of this multiplicity is to achieve more properties that other transforms (Fourier and wavelet) are unable to combine. In the one-dimensional signals, the computational method for DMWT and inverse DMWT by an oversampled scheme of preprocessing (repeated row), is convenient and influential and further performance gains were made by looking into alternative orthogonal bases functions and finding a better transform than Fourier and wavelet transforms. We determined this transform to be a discrete multiwavelets transform (DMWT). The data converted from parallel to serial are fed to the channel proposed (ITU) models and the receiver performs the same operations as the transmitter, but in a reverse order, It further includes operations for synchronization and compensation for the destructive channel
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